MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
SkillApache-2.0★ 3.5kNo key
Turns an organization's internal docs into a living learning system: AI agents generate courses, tutor learners, and adapt content on the fly.
SkillApache-2.0★ 18No key
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect o
OfficialSkillApache-2.0★ 21k in collectionNo key
Production-ready AI agent profiles for Claude Code, Cursor, Codex, OpenClaw, and Hermes. Search, install, and contribute ForgeCat packages.
SkillApache-2.0★ 91No key
魔搭紫皮书｜ModelScope Cookbook：面向开发者的开源模型应用实战指南，覆盖模型选型、推理、微调、评测、RAG、Agent 与 AIGC，从跑通第一个模型到构建实际应用。
SkillApache-2.0★ 486No key
Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud',
OfficialSkillApache-2.0★ 256 in collectionNo key
Local RAG layer and optimizer for your Markdown knowledge base. CLI + MCP server: grounded answers for any AI client, stale-note detection, session harvesting into memories. Local-first.
PythonApache-2.0★ 47No key
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Node.jsApache-2.0★ 332No key
KSoR (Knowledge System of Record) is an open-source SDK for building governed, authoritative knowledge systems for humans and AI agents. It is a foundation of an AI-native knowledge platform.
Node.jsApache-2.0★ 230No key
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
SkillApache-2.0★ 804No key
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. A
SkillApache-2.0★ 502No key
Java-first open-source handbook for understanding and building agentic systems, one concept at a time.
SkillApache-2.0★ 35No key
A memory of the codebase your AI agent can't get from grep: a persistent call graph, semantic search, and per-symbol review learnings over any repo. Self-hosted MCP server — Go, tree-sitter, Apache AG
GoApache-2.0★ 5No key
Persistent memory MCP server for AI agents — Rust, 19 tools, knowledge graph, Hebbian learning, episodic memory, contradiction detection, prospective triggers, Bayesian calibration, zero-config Docker
Node.jsApache-2.0★ 30No key
Local LLM·RAG·AI Agent·바이브 코딩을 개념부터 실습과 검증까지 다루는 학습 자료
SkillApache-2.0★ 45No key
AccInt - local-first MCP Work Model for coding agents that learns from real outcomes.
SkillApache-2.0★ 7No key
Simple RAG implementation from scratch using MCP, focusing on Perception, Memory, Decision and Action
SkillApache-2.0★ 16No key
Install Remnant in Codex, Claude Code or MCP agents: search prior experience, inspect evidence, try it, and share honest outcomes or reusable lessons.
SkillApache-2.0Few starsNo key
Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, genera
OfficialSkillApache-2.0★ 3.6k in collectionNo key
A local MCP server for agent literature work. Original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk. Search is optional.
PythonApache-2.0★ 3.2kNo key
AI Engineering Specially Topics- Agentic AI & GenAI Explanation
SkillApache-2.0★ 158No key
Cross-agent memory for AI coding tools: one self-hostable knowledge graph shared by Claude Code, Codex, OpenCode, Cursor, and the agents you build.
SkillApache-2.0★ 67No key
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